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- Tasks: Design data pipelines and apply AI to investment workflows in a dynamic team.
- Company: Leading investment firm with a focus on technology and innovation.
- Benefits: Gain hands-on experience, potential for full-time role, and mentorship from industry experts.
- Why this job: Combine your passion for finance and tech while working on cutting-edge AI projects.
- Qualifications: Strong academic background in quantitative fields and programming skills in Python and SQL.
- Other info: 10-week internship in London with excellent career growth opportunities.
The predicted salary is between 20000 - 30000 £ per year.
A leading investment firm is seeking a Postgraduate Technology Intern for a 10-week program in London to work on an AI-native data platform. The role involves designing data pipelines, collaborating with teams, and applying AI to investment workflows.
Ideal candidates will have a strong academic background in a quantitative field and programming skills in Python and SQL. This internship offers the possibility of a full-time role afterward, making it an excellent opportunity for individuals interested in finance and technology.
AI-Native Data Platform Engineer Internship London employer: Tower Peak Partners
Contact Detail:
Tower Peak Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Native Data Platform Engineer Internship London
✨Tip Number 1
Network like a pro! Reach out to current or former interns at the firm on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or portfolio that highlights your Python and SQL prowess. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to AI and data pipelines. Mock interviews with friends can really boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there!
We think you need these skills to ace AI-Native Data Platform Engineer Internship London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and SQL. We want to see how you can apply these skills to real-world problems, especially in the context of AI and data pipelines.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the AI-Native Data Platform Engineer Internship. We love seeing candidates who are genuinely interested in the role.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the internship.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to manage applications and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Tower Peak Partners
✨Know Your Tech
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, as well as any challenges you faced and how you overcame them.
✨Understand AI Applications
Since the role involves applying AI to investment workflows, it’s crucial to have a solid understanding of how AI can be integrated into data platforms. Prepare examples of how you've used AI in past projects or coursework.
✨Show Your Collaborative Spirit
This internship will require teamwork, so think of instances where you've successfully collaborated with others. Be prepared to share how you communicate and contribute to group projects, especially in tech settings.
✨Research the Firm
Familiarise yourself with the investment firm’s mission, values, and recent projects. This will not only help you tailor your answers but also show your genuine interest in the company and its work in finance and technology.